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2007, Analytical methods for social research, ISBN 0521867061, xxii, 625
Book
2016, 1, ISBN 1482225662, xxiv, 212 pages
Book
2012, ISBN 9783110267594, ix, 264 pages
Book
Journal of vegetation science, ISSN 1100-9233, 11/2013, Volume 24, Issue 6, pp. 1108 - 1117
Datasets | Ecological modeling | Statistical models | Vegetation | Multilevel models | Plants | Species | Parametric models | Modeling | Realized niche | Bioindication | Hierarchical modelling | Logistic regression | Species turnover | Species optimum | Environmental gradient | Fundamental and applied biological sciences. Psychology | Biological and medical sciences | Animal and plant ecology | Applied ecology | Conservation, protection and management of environment and wildlife | Animal, plant and microbial ecology | Agricultural land
Journal Article
Ecology (Durham), ISSN 0012-9658, 7/2016, Volume 97, Issue 7, pp. 1759 - 1770
Bayesian hierarchical models | biodiversity | species distribution maps | cross‐validation | plains fish | South Platte River Basin | Environmental Sciences & Ecology | Ecology | Life Sciences & Biomedicine | Science & Technology | Fish populations | Observations | Stock assessment (Wildlife management) | Methods | Ecologists | Data analysis | Mathematical models | Biodiversity | Bayesian analysis | Index Medicus
Journal Article
2004, ISBN 0761928790, 88
Book
7.
Full Text
Bayesian Disease Mapping
: Hierarchical Modeling in Spatial Epidemiology, Third Edition
05/2018, Chapman & Hall/CRC Interdisciplinary Statistics, ISBN 1138575429, 22
georeferenced health data | BIOMEDICALSCIENCEnetBASE | conditional autoregressive models | infectious diseases | STATSnetBASE | BIOSCIENCEnetBASE | Stan | Bayesian tools and methods | Epidemiology | regression and ecological analysis | Bayesian disease mapping | survival analysis | spatial epidemiology | surveillance | WinBUGS code | Statistical Computing | STMnetBASE | SCI-TECHnetBASE | bayesian hierarchical mapping | putative hazard modeling | disease map surveillance | INLA package in R | Statistical Theory & Methods | Bayesian hierarchical regression modeling | INLA | geographical analysis of disease | spatial biostatistics | spatio-temporal
eBook
Ecology and evolution, ISSN 2045-7758, 01/2019, Volume 9, Issue 2, pp. 899 - 909
occupancy model | generalized N‐mixture model | Bayesian | emerging infectious diseases | host–pathogen interaction | hierarchical models | mark–recapture models | multistate models | disease ecology | Dail–Madsen model | generalized N-mixture model | Environmental Sciences & Ecology | Ecology | Life Sciences & Biomedicine | Evolutionary Biology | Science & Technology | Parameter estimation | Theory | Population number | Animal diseases | Infections | Statistical methods | Probabilistic models | Biodiversity | Reptiles & amphibians | Ecologists | Wildlife | Dynamics | Population | Mathematical models | Arachnids | Pathogens | Statistical analysis | Probability | Birds | Estimates | Disease control | Population (statistical) | Infectious diseases | Disease transmission | State space models | Immigration | Error detection | Wildlife management
Journal Article
2007, ISBN 9789812705396, xii, 229
Book
NeuroImage (Orlando, Fla.), ISSN 1053-8119, 03/2016, Volume 128, pp. 413 - 431
Empirical Bayes | Hierarchical modelling | Bayesian model reduction | Classification | Random effects | Fixed effects | Dynamic causal modelling | Neuroimaging | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Schizophrenia | Models, Neurological | Humans | Bayes Theorem | Models | Analysis | Biomedical engineering | Studies | Biomedical research | Normal distribution | Bayesian analysis | Index Medicus | Technical Note
Journal Article
Ecology (Durham), ISSN 0012-9658, 8/2008, Volume 89, Issue 8, pp. 2281 - 2289
Wildlife ecology | Density estimation | Horned lizards | Ecological modeling | Animals | Multilevel models | Emigration | Population estimates | Population size | Modeling | distance sampling | spatial point process | abundance estimation | data augmentation | Phrynosoma mcallii | trapping grid | hierarchical modeling | animal movement models | Bayesian analysis | density estimation | trapping web | Animal movement models | Trapping grid | Distance sampling | Hierarchical modeling | Spatial point process | Data augmentation | Abundance estimation | Trapping web | Environmental Sciences & Ecology | Ecology | Life Sciences & Biomedicine | Science & Technology | Fundamental and applied biological sciences. Psychology | General aspects | Animal, plant and microbial ecology | General aspects. Techniques | Biological and medical sciences | Methods and techniques (sampling, tagging, trapping, modelling...) | Animal and plant ecology | Lizards - physiology | Demography | Models, Biological | Computer Simulation | Ecosystem | Bayes Theorem | Monte Carlo Method | Research Design | Bayesian statistical decision theory | Measurement | Evaluation | Horned toads | Animal locomotion | Distribution | Environmental aspects | Methods | Population density | Studies | Trapping | Simulation | Animal behavior | Animal populations | Index Medicus
Journal Article
2010, ISBN 1584887206, xiii, 590
Book
NeuroImage (Orlando, Fla.), ISSN 1053-8119, 07/2009, Volume 46, Issue 4, pp. 1004 - 1017
fMRI | Variational Bayes | EEG | Source reconstruction | Random effects | Bayes factor | Model comparison | Hierarchical models | MEG | Model evidence | Dynamic causal modelling | DCM | Neuroimaging | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Hypotheses | Approximation | Random variables | Bayesian analysis | Statistics | Index Medicus | model evidence | model comparison | source reconstruction | hierarchical models | variational Bayes | dynamic causal modelling
Journal Article